Overview

Dataset statistics

Number of variables17
Number of observations3984
Missing cells14399
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory689.3 KiB
Average record size in memory177.2 B

Variable types

Numeric5
Text7
Categorical2
DateTime2
Unsupported1

Alerts

type is highly imbalanced (89.4%)Imbalance
number has 84 (2.1%) missing valuesMissing
airtime has 2723 (68.3%) missing valuesMissing
runtime has 253 (6.4%) missing valuesMissing
rating_average has 3984 (100.0%) missing valuesMissing
medium has 2449 (61.5%) missing valuesMissing
original has 2449 (61.5%) missing valuesMissing
summary has 2457 (61.7%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:30:00.995558
Analysis finished2023-08-05 19:30:05.360760
Duration4.37 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct3984
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2452356.6
Minimum2164183
Maximum2609164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:05.448031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2164183
5-th percentile2399787.1
Q12437392.2
median2449920
Q32460921.2
95-th percentile2519150.9
Maximum2609164
Range444981
Interquartile range (IQR)23529

Descriptive statistics

Standard deviation38113.731
Coefficient of variation (CV)0.015541675
Kurtosis5.9538794
Mean2452356.6
Median Absolute Deviation (MAD)11501.5
Skewness1.0440757
Sum9.7701888 × 109
Variance1.4526565 × 109
MonotonicityNot monotonic
2023-08-05T14:30:05.608826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2450906 1
 
< 0.1%
2454110 1
 
< 0.1%
2443013 1
 
< 0.1%
2443014 1
 
< 0.1%
2457138 1
 
< 0.1%
2458336 1
 
< 0.1%
2463728 1
 
< 0.1%
2463729 1
 
< 0.1%
2463782 1
 
< 0.1%
2472775 1
 
< 0.1%
Other values (3974) 3974
99.7%
ValueCountFrequency (%)
2164183 1
< 0.1%
2222678 1
< 0.1%
2286562 1
< 0.1%
2286564 1
< 0.1%
2286565 1
< 0.1%
2310624 1
< 0.1%
2313022 1
< 0.1%
2320579 1
< 0.1%
2320580 1
< 0.1%
2320581 1
< 0.1%
ValueCountFrequency (%)
2609164 1
< 0.1%
2608529 1
< 0.1%
2608528 1
< 0.1%
2608527 1
< 0.1%
2607848 1
< 0.1%
2607847 1
< 0.1%
2607660 1
< 0.1%
2607659 1
< 0.1%
2607242 1
< 0.1%
2607241 1
< 0.1%

id_embedded
Real number (ℝ)

Distinct747
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57270.645
Minimum81
Maximum70236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:05.754223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile19111
Q154476
median64208
Q365995
95-th percentile67168
Maximum70236
Range70155
Interquartile range (IQR)11519

Descriptive statistics

Standard deviation14878.586
Coefficient of variation (CV)0.25979428
Kurtosis4.1038508
Mean57270.645
Median Absolute Deviation (MAD)2107
Skewness-2.1437383
Sum2.2816625 × 108
Variance2.2137232 × 108
MonotonicityNot monotonic
2023-08-05T14:30:05.909142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65696 48
 
1.2%
61565 34
 
0.9%
66110 31
 
0.8%
66153 30
 
0.8%
66162 28
 
0.7%
66103 26
 
0.7%
65894 26
 
0.7%
66179 25
 
0.6%
70186 25
 
0.6%
66233 24
 
0.6%
Other values (737) 3687
92.5%
ValueCountFrequency (%)
81 3
0.1%
328 3
0.1%
802 4
0.1%
851 2
 
0.1%
935 1
 
< 0.1%
1505 4
0.1%
1596 2
 
0.1%
1905 5
0.1%
2266 5
0.1%
2643 1
 
< 0.1%
ValueCountFrequency (%)
70236 3
 
0.1%
70217 2
 
0.1%
70186 25
0.6%
70093 2
 
0.1%
69964 3
 
0.1%
69922 10
 
0.3%
69463 4
 
0.1%
69389 5
 
0.1%
69351 4
 
0.1%
69238 10
 
0.3%

url
Text

UNIQUE 

Distinct3984
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:06.145003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length168
Median length136
Mean length78.855422
Min length54

Characters and Unicode

Total characters314160
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3984 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87
2nd rowhttps://www.tvmaze.com/episodes/2450907/hocu-vse-znat-2x88-seria-88
3rd rowhttps://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15
4th rowhttps://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16
5th rowhttps://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87 1
 
< 0.1%
https://www.tvmaze.com/episodes/2424819/s-nula-1x04-seria-04 1
 
< 0.1%
https://www.tvmaze.com/episodes/2422014/colin-from-accounts-1x06-the-good-room 1
 
< 0.1%
https://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15 1
 
< 0.1%
https://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16 1
 
< 0.1%
https://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria 1
 
< 0.1%
https://www.tvmaze.com/episodes/2323161/zamerzsie-1x01-seria-1 1
 
< 0.1%
https://www.tvmaze.com/episodes/2433627/zamerzsie-1x02-seria-2 1
 
< 0.1%
https://www.tvmaze.com/episodes/2433628/zamerzsie-1x03-seria-3 1
 
< 0.1%
https://www.tvmaze.com/episodes/2433629/zamerzsie-1x04-seria-4 1
 
< 0.1%
Other values (3974) 3974
99.7%
2023-08-05T14:30:06.557563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 26673
 
8.5%
- 24248
 
7.7%
s 20037
 
6.4%
/ 19920
 
6.3%
t 18584
 
5.9%
o 16870
 
5.4%
w 13438
 
4.3%
a 13013
 
4.1%
i 12648
 
4.0%
p 11639
 
3.7%
Other values (30) 137090
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 213144
67.8%
Decimal Number 44896
 
14.3%
Other Punctuation 31872
 
10.1%
Dash Punctuation 24248
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 26673
12.5%
s 20037
 
9.4%
t 18584
 
8.7%
o 16870
 
7.9%
w 13438
 
6.3%
a 13013
 
6.1%
i 12648
 
5.9%
p 11639
 
5.5%
m 10797
 
5.1%
d 9084
 
4.3%
Other values (16) 60361
28.3%
Decimal Number
ValueCountFrequency (%)
2 8582
19.1%
1 7172
16.0%
4 7099
15.8%
0 4876
10.9%
3 3815
8.5%
5 3564
7.9%
6 2654
 
5.9%
8 2414
 
5.4%
7 2404
 
5.4%
9 2316
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 19920
62.5%
. 7968
 
25.0%
: 3984
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 24248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 213144
67.8%
Common 101016
32.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 26673
12.5%
s 20037
 
9.4%
t 18584
 
8.7%
o 16870
 
7.9%
w 13438
 
6.3%
a 13013
 
6.1%
i 12648
 
5.9%
p 11639
 
5.5%
m 10797
 
5.1%
d 9084
 
4.3%
Other values (16) 60361
28.3%
Common
ValueCountFrequency (%)
- 24248
24.0%
/ 19920
19.7%
2 8582
 
8.5%
. 7968
 
7.9%
1 7172
 
7.1%
4 7099
 
7.0%
0 4876
 
4.8%
: 3984
 
3.9%
3 3815
 
3.8%
5 3564
 
3.5%
Other values (4) 9788
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 314160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 26673
 
8.5%
- 24248
 
7.7%
s 20037
 
6.4%
/ 19920
 
6.3%
t 18584
 
5.9%
o 16870
 
5.4%
w 13438
 
4.3%
a 13013
 
4.1%
i 12648
 
4.0%
p 11639
 
3.7%
Other values (30) 137090
43.6%

name
Text

Distinct2459
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:06.902462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length111
Mean length15.695532
Min length1

Characters and Unicode

Total characters62531
Distinct characters232
Distinct categories16 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2334 ?
Unique (%)58.6%

Sample

1st rowСерия 87
2nd rowСерия 88
3rd rowСерия 15
4th rowСерия 16
5th row8 серия
ValueCountFrequency (%)
episode 1569
 
13.5%
the 398
 
3.4%
серия 176
 
1.5%
1 141
 
1.2%
2 136
 
1.2%
134
 
1.2%
4 127
 
1.1%
a 119
 
1.0%
of 118
 
1.0%
3 115
 
1.0%
Other values (4284) 8564
73.8%
2023-08-05T14:30:07.443470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7615
 
12.2%
e 5189
 
8.3%
o 3764
 
6.0%
i 3569
 
5.7%
s 3271
 
5.2%
a 2659
 
4.3%
d 2488
 
4.0%
p 2097
 
3.4%
r 2016
 
3.2%
n 1982
 
3.2%
Other values (222) 27881
44.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40787
65.2%
Uppercase Letter 8798
 
14.1%
Space Separator 7615
 
12.2%
Decimal Number 3887
 
6.2%
Other Punctuation 963
 
1.5%
Other Letter 160
 
0.3%
Dash Punctuation 142
 
0.2%
Open Punctuation 48
 
0.1%
Close Punctuation 48
 
0.1%
Math Symbol 29
 
< 0.1%
Other values (6) 54
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5189
12.7%
o 3764
 
9.2%
i 3569
 
8.8%
s 3271
 
8.0%
a 2659
 
6.5%
d 2488
 
6.1%
p 2097
 
5.1%
r 2016
 
4.9%
n 1982
 
4.9%
t 1902
 
4.7%
Other values (85) 11850
29.1%
Uppercase Letter
ValueCountFrequency (%)
E 1867
21.2%
T 645
 
7.3%
S 440
 
5.0%
C 423
 
4.8%
D 365
 
4.1%
A 362
 
4.1%
B 328
 
3.7%
M 311
 
3.5%
F 302
 
3.4%
P 273
 
3.1%
Other values (61) 3482
39.6%
Other Letter
ValueCountFrequency (%)
ل 39
24.4%
ا 28
17.5%
ة 18
11.2%
ح 16
10.0%
ق 16
10.0%
ي 8
 
5.0%
د 6
 
3.8%
ب 5
 
3.1%
ن 4
 
2.5%
ر 4
 
2.5%
Other values (9) 16
10.0%
Other Punctuation
ValueCountFrequency (%)
. 238
24.7%
, 187
19.4%
' 130
13.5%
: 102
10.6%
! 69
 
7.2%
" 66
 
6.9%
? 50
 
5.2%
/ 37
 
3.8%
& 34
 
3.5%
# 27
 
2.8%
Other values (6) 23
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 932
24.0%
2 745
19.2%
3 377
9.7%
4 359
 
9.2%
5 291
 
7.5%
0 271
 
7.0%
8 238
 
6.1%
6 235
 
6.0%
9 222
 
5.7%
7 217
 
5.6%
Math Symbol
ValueCountFrequency (%)
| 15
51.7%
+ 7
24.1%
~ 6
 
20.7%
= 1
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 130
91.5%
6
 
4.2%
6
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 45
93.8%
[ 3
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 45
93.8%
] 3
 
6.2%
Final Punctuation
ValueCountFrequency (%)
» 9
64.3%
5
35.7%
Currency Symbol
ValueCountFrequency (%)
$ 7
87.5%
1
 
12.5%
Nonspacing Mark
ValueCountFrequency (%)
̆ 1
50.0%
ً 1
50.0%
Space Separator
ValueCountFrequency (%)
7615
100.0%
Other Symbol
ValueCountFrequency (%)
20
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 9
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44207
70.7%
Common 12784
 
20.4%
Cyrillic 5377
 
8.6%
Arabic 160
 
0.3%
Inherited 2
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5189
 
11.7%
o 3764
 
8.5%
i 3569
 
8.1%
s 3271
 
7.4%
a 2659
 
6.0%
d 2488
 
5.6%
p 2097
 
4.7%
r 2016
 
4.6%
n 1982
 
4.5%
t 1902
 
4.3%
Other values (87) 15270
34.5%
Cyrillic
ValueCountFrequency (%)
и 453
 
8.4%
е 438
 
8.1%
р 359
 
6.7%
а 333
 
6.2%
о 329
 
6.1%
я 262
 
4.9%
С 215
 
4.0%
н 213
 
4.0%
с 183
 
3.4%
к 182
 
3.4%
Other values (58) 2410
44.8%
Common
ValueCountFrequency (%)
7615
59.6%
1 932
 
7.3%
2 745
 
5.8%
3 377
 
2.9%
4 359
 
2.8%
5 291
 
2.3%
0 271
 
2.1%
. 238
 
1.9%
8 238
 
1.9%
6 235
 
1.8%
Other values (35) 1483
 
11.6%
Arabic
ValueCountFrequency (%)
ل 39
24.4%
ا 28
17.5%
ة 18
11.2%
ح 16
10.0%
ق 16
10.0%
ي 8
 
5.0%
د 6
 
3.8%
ب 5
 
3.1%
ن 4
 
2.5%
ر 4
 
2.5%
Other values (9) 16
10.0%
Inherited
ValueCountFrequency (%)
̆ 1
50.0%
ً 1
50.0%
Greek
ValueCountFrequency (%)
π 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56629
90.6%
Cyrillic 5377
 
8.6%
None 314
 
0.5%
Arabic 161
 
0.3%
Punctuation 23
 
< 0.1%
Letterlike Symbols 20
 
< 0.1%
Latin Ext Additional 5
 
< 0.1%
Currency Symbols 1
 
< 0.1%
Diacriticals 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7615
 
13.4%
e 5189
 
9.2%
o 3764
 
6.6%
i 3569
 
6.3%
s 3271
 
5.8%
a 2659
 
4.7%
d 2488
 
4.4%
p 2097
 
3.7%
r 2016
 
3.6%
n 1982
 
3.5%
Other values (74) 21979
38.8%
Cyrillic
ValueCountFrequency (%)
и 453
 
8.4%
е 438
 
8.1%
р 359
 
6.7%
а 333
 
6.2%
о 329
 
6.1%
я 262
 
4.9%
С 215
 
4.0%
н 213
 
4.0%
с 183
 
3.4%
к 182
 
3.4%
Other values (58) 2410
44.8%
Arabic
ValueCountFrequency (%)
ل 39
24.2%
ا 28
17.4%
ة 18
11.2%
ح 16
9.9%
ق 16
9.9%
ي 8
 
5.0%
د 6
 
3.7%
ب 5
 
3.1%
ن 4
 
2.5%
ر 4
 
2.5%
Other values (10) 17
10.6%
None
ValueCountFrequency (%)
é 38
 
12.1%
ó 34
 
10.8%
á 31
 
9.9%
ä 21
 
6.7%
í 21
 
6.7%
ö 14
 
4.5%
ü 14
 
4.5%
ú 12
 
3.8%
å 11
 
3.5%
» 9
 
2.9%
Other values (41) 109
34.7%
Letterlike Symbols
ValueCountFrequency (%)
20
100.0%
Punctuation
ValueCountFrequency (%)
6
26.1%
6
26.1%
5
21.7%
5
21.7%
1
 
4.3%
Latin Ext Additional
ValueCountFrequency (%)
5
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Diacriticals
ValueCountFrequency (%)
̆ 1
100.0%

season
Real number (ℝ)

Distinct31
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.073544
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:07.597115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile22
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation368.04663
Coefficient of variation (CV)5.1065427
Kurtosis24.139596
Mean72.073544
Median Absolute Deviation (MAD)0
Skewness5.1110735
Sum287141
Variance135458.32
MonotonicityNot monotonic
2023-08-05T14:30:07.742216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 2520
63.3%
2 484
 
12.1%
3 264
 
6.6%
2022 136
 
3.4%
4 133
 
3.3%
5 116
 
2.9%
8 36
 
0.9%
7 34
 
0.9%
6 31
 
0.8%
10 30
 
0.8%
Other values (21) 200
 
5.0%
ValueCountFrequency (%)
1 2520
63.3%
2 484
 
12.1%
3 264
 
6.6%
4 133
 
3.3%
5 116
 
2.9%
6 31
 
0.8%
7 34
 
0.9%
8 36
 
0.9%
9 25
 
0.6%
10 30
 
0.8%
ValueCountFrequency (%)
2022 136
3.4%
2021 1
 
< 0.1%
50 4
 
0.1%
47 2
 
0.1%
46 4
 
0.1%
39 2
 
0.1%
34 3
 
0.1%
29 6
 
0.2%
28 19
 
0.5%
25 1
 
< 0.1%

number
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)5.2%
Missing84
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean20.378462
Minimum1
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:07.894338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q317
95-th percentile90
Maximum328
Range327
Interquartile range (IQR)13

Descriptive statistics

Standard deviation40.988777
Coefficient of variation (CV)2.0113774
Kurtosis22.5245
Mean20.378462
Median Absolute Deviation (MAD)5
Skewness4.4643322
Sum79476
Variance1680.0799
MonotonicityNot monotonic
2023-08-05T14:30:08.050394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 293
 
7.4%
4 288
 
7.2%
2 288
 
7.2%
3 286
 
7.2%
5 265
 
6.7%
6 265
 
6.7%
7 217
 
5.4%
8 213
 
5.3%
10 139
 
3.5%
9 139
 
3.5%
Other values (191) 1507
37.8%
ValueCountFrequency (%)
1 293
7.4%
2 288
7.2%
3 286
7.2%
4 288
7.2%
5 265
6.7%
6 265
6.7%
7 217
5.4%
8 213
5.3%
9 139
3.5%
10 139
3.5%
ValueCountFrequency (%)
328 1
< 0.1%
327 1
< 0.1%
326 1
< 0.1%
325 1
< 0.1%
298 1
< 0.1%
297 1
< 0.1%
296 1
< 0.1%
295 1
< 0.1%
294 2
0.1%
293 2
0.1%

type
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
regular
3900 
significant_special
 
45
insignificant_special
 
39

Length

Max length21
Median length7
Mean length7.2725904
Min length7

Characters and Unicode

Total characters28974
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 3900
97.9%
significant_special 45
 
1.1%
insignificant_special 39
 
1.0%

Length

2023-08-05T14:30:08.196460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:30:08.311274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 3900
97.9%
significant_special 45
 
1.1%
insignificant_special 39
 
1.0%

Most occurring characters

ValueCountFrequency (%)
r 7800
26.9%
a 4068
14.0%
e 3984
13.8%
g 3984
13.8%
l 3984
13.8%
u 3900
13.5%
i 375
 
1.3%
n 207
 
0.7%
s 168
 
0.6%
c 168
 
0.6%
Other values (4) 336
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28890
99.7%
Connector Punctuation 84
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 7800
27.0%
a 4068
14.1%
e 3984
13.8%
g 3984
13.8%
l 3984
13.8%
u 3900
13.5%
i 375
 
1.3%
n 207
 
0.7%
s 168
 
0.6%
c 168
 
0.6%
Other values (3) 252
 
0.9%
Connector Punctuation
ValueCountFrequency (%)
_ 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28890
99.7%
Common 84
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 7800
27.0%
a 4068
14.1%
e 3984
13.8%
g 3984
13.8%
l 3984
13.8%
u 3900
13.5%
i 375
 
1.3%
n 207
 
0.7%
s 168
 
0.6%
c 168
 
0.6%
Other values (3) 252
 
0.9%
Common
ValueCountFrequency (%)
_ 84
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 7800
26.9%
a 4068
14.0%
e 3984
13.8%
g 3984
13.8%
l 3984
13.8%
u 3900
13.5%
i 375
 
1.3%
n 207
 
0.7%
s 168
 
0.6%
c 168
 
0.6%
Other values (4) 336
 
1.2%

airdate
Categorical

Distinct31
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
2022-12-29
 
213
2022-12-16
 
205
2022-12-09
 
198
2022-12-08
 
193
2022-12-22
 
185
Other values (26)
2990 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters39840
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-01
2nd row2022-12-01
3rd row2022-12-01
4th row2022-12-01
5th row2022-12-01

Common Values

ValueCountFrequency (%)
2022-12-29 213
 
5.3%
2022-12-16 205
 
5.1%
2022-12-09 198
 
5.0%
2022-12-08 193
 
4.8%
2022-12-22 185
 
4.6%
2022-12-15 184
 
4.6%
2022-12-07 175
 
4.4%
2022-12-30 174
 
4.4%
2022-12-01 171
 
4.3%
2022-12-02 170
 
4.3%
Other values (21) 2116
53.1%

Length

2023-08-05T14:30:08.430768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-29 213
 
5.3%
2022-12-16 205
 
5.1%
2022-12-09 198
 
5.0%
2022-12-08 193
 
4.8%
2022-12-22 185
 
4.6%
2022-12-15 184
 
4.6%
2022-12-07 175
 
4.4%
2022-12-30 174
 
4.4%
2022-12-01 171
 
4.3%
2022-12-02 170
 
4.3%
Other values (21) 2116
53.1%

Most occurring characters

ValueCountFrequency (%)
2 17704
44.4%
- 7968
20.0%
1 5606
 
14.1%
0 5571
 
14.0%
3 644
 
1.6%
9 496
 
1.2%
6 422
 
1.1%
8 421
 
1.1%
5 387
 
1.0%
7 366
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31872
80.0%
Dash Punctuation 7968
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 17704
55.5%
1 5606
 
17.6%
0 5571
 
17.5%
3 644
 
2.0%
9 496
 
1.6%
6 422
 
1.3%
8 421
 
1.3%
5 387
 
1.2%
7 366
 
1.1%
4 255
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 7968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 17704
44.4%
- 7968
20.0%
1 5606
 
14.1%
0 5571
 
14.0%
3 644
 
1.6%
9 496
 
1.2%
6 422
 
1.1%
8 421
 
1.1%
5 387
 
1.0%
7 366
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 17704
44.4%
- 7968
20.0%
1 5606
 
14.1%
0 5571
 
14.0%
3 644
 
1.6%
9 496
 
1.2%
6 422
 
1.1%
8 421
 
1.1%
5 387
 
1.0%
7 366
 
0.9%

airtime
Date

MISSING 

Distinct57
Distinct (%)4.5%
Missing2723
Missing (%)68.3%
Memory size191.3 KiB
Minimum2023-08-05 00:00:00
Maximum2023-08-05 23:50:00
2023-08-05T14:30:08.565478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:08.713725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct629
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
Minimum2022-12-01 00:00:00+00:00
Maximum2023-01-01 01:00:00+00:00
2023-08-05T14:30:08.860263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:09.020207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

runtime
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)3.2%
Missing253
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean36.812115
Minimum1
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:09.169723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q120
median36
Q346
95-th percentile73
Maximum251
Range250
Interquartile range (IQR)26

Descriptive statistics

Standard deviation26.672552
Coefficient of variation (CV)0.72455907
Kurtosis10.190797
Mean36.812115
Median Absolute Deviation (MAD)14
Skewness2.3381329
Sum137346
Variance711.42501
MonotonicityNot monotonic
2023-08-05T14:30:09.327303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 446
 
11.2%
10 214
 
5.4%
30 193
 
4.8%
40 133
 
3.3%
25 129
 
3.2%
60 124
 
3.1%
20 102
 
2.6%
15 93
 
2.3%
50 88
 
2.2%
5 82
 
2.1%
Other values (108) 2127
53.4%
(Missing) 253
 
6.4%
ValueCountFrequency (%)
1 5
 
0.1%
2 49
 
1.2%
3 23
 
0.6%
4 52
 
1.3%
5 82
 
2.1%
6 54
 
1.4%
7 42
 
1.1%
8 30
 
0.8%
9 48
 
1.2%
10 214
5.4%
ValueCountFrequency (%)
251 1
 
< 0.1%
240 3
 
0.1%
200 1
 
< 0.1%
188 1
 
< 0.1%
180 14
0.4%
174 1
 
< 0.1%
166 1
 
< 0.1%
165 18
0.5%
142 1
 
< 0.1%
139 1
 
< 0.1%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3984
Missing (%)100.0%
Memory size191.3 KiB

medium
Text

MISSING 

Distinct1535
Distinct (%)100.0%
Missing2449
Missing (%)61.5%
Memory size191.3 KiB
2023-08-05T14:30:09.555267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters112055
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1535 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/432/1081693.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084040.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084095.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1082878.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084090.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/432/1081693.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/443/1108949.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084040.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084095.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082878.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084090.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084089.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082867.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084088.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082868.jpg 1
 
0.1%
Other values (1525) 1525
99.3%
2023-08-05T14:30:09.934159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 10745
 
9.6%
a 9210
 
8.2%
t 7675
 
6.8%
s 7675
 
6.8%
m 7675
 
6.8%
p 6140
 
5.5%
e 6140
 
5.5%
. 4605
 
4.1%
c 4605
 
4.1%
d 4605
 
4.1%
Other values (22) 42980
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 78285
69.9%
Other Punctuation 16885
 
15.1%
Decimal Number 15350
 
13.7%
Connector Punctuation 1535
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 9210
11.8%
t 7675
9.8%
s 7675
9.8%
m 7675
9.8%
p 6140
 
7.8%
e 6140
 
7.8%
c 4605
 
5.9%
d 4605
 
5.9%
i 4605
 
5.9%
g 3070
 
3.9%
Other values (8) 16885
21.6%
Decimal Number
ValueCountFrequency (%)
4 2705
17.6%
1 2521
16.4%
0 2088
13.6%
3 2058
13.4%
8 1479
9.6%
9 1218
7.9%
5 1063
 
6.9%
6 816
 
5.3%
7 798
 
5.2%
2 604
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 10745
63.6%
. 4605
27.3%
: 1535
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 78285
69.9%
Common 33770
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 9210
11.8%
t 7675
9.8%
s 7675
9.8%
m 7675
9.8%
p 6140
 
7.8%
e 6140
 
7.8%
c 4605
 
5.9%
d 4605
 
5.9%
i 4605
 
5.9%
g 3070
 
3.9%
Other values (8) 16885
21.6%
Common
ValueCountFrequency (%)
/ 10745
31.8%
. 4605
13.6%
4 2705
 
8.0%
1 2521
 
7.5%
0 2088
 
6.2%
3 2058
 
6.1%
_ 1535
 
4.5%
: 1535
 
4.5%
8 1479
 
4.4%
9 1218
 
3.6%
Other values (4) 3281
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112055
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 10745
 
9.6%
a 9210
 
8.2%
t 7675
 
6.8%
s 7675
 
6.8%
m 7675
 
6.8%
p 6140
 
5.5%
e 6140
 
5.5%
. 4605
 
4.1%
c 4605
 
4.1%
d 4605
 
4.1%
Other values (22) 42980
38.4%

original
Text

MISSING 

Distinct1535
Distinct (%)100.0%
Missing2449
Missing (%)61.5%
Memory size191.3 KiB
2023-08-05T14:30:10.281329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters115125
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1535 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/432/1081693.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084040.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084095.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1082878.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084090.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/432/1081693.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/443/1108949.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084040.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084095.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082878.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084090.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084089.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082867.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084088.jpg 1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082868.jpg 1
 
0.1%
Other values (1525) 1525
99.3%
2023-08-05T14:30:10.852347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 10745
 
9.3%
t 9210
 
8.0%
a 7675
 
6.7%
s 6140
 
5.3%
i 6140
 
5.3%
o 6140
 
5.3%
p 4605
 
4.0%
c 4605
 
4.0%
. 4605
 
4.0%
g 4605
 
4.0%
Other values (23) 50655
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 81355
70.7%
Other Punctuation 16885
 
14.7%
Decimal Number 15350
 
13.3%
Connector Punctuation 1535
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 9210
 
11.3%
a 7675
 
9.4%
s 6140
 
7.5%
i 6140
 
7.5%
o 6140
 
7.5%
p 4605
 
5.7%
c 4605
 
5.7%
g 4605
 
5.7%
m 4605
 
5.7%
e 4605
 
5.7%
Other values (9) 23025
28.3%
Decimal Number
ValueCountFrequency (%)
4 2705
17.6%
1 2521
16.4%
0 2088
13.6%
3 2058
13.4%
8 1479
9.6%
9 1218
7.9%
5 1063
 
6.9%
6 816
 
5.3%
7 798
 
5.2%
2 604
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 10745
63.6%
. 4605
27.3%
: 1535
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 81355
70.7%
Common 33770
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 9210
 
11.3%
a 7675
 
9.4%
s 6140
 
7.5%
i 6140
 
7.5%
o 6140
 
7.5%
p 4605
 
5.7%
c 4605
 
5.7%
g 4605
 
5.7%
m 4605
 
5.7%
e 4605
 
5.7%
Other values (9) 23025
28.3%
Common
ValueCountFrequency (%)
/ 10745
31.8%
. 4605
13.6%
4 2705
 
8.0%
1 2521
 
7.5%
0 2088
 
6.2%
3 2058
 
6.1%
: 1535
 
4.5%
_ 1535
 
4.5%
8 1479
 
4.4%
9 1218
 
3.6%
Other values (4) 3281
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 10745
 
9.3%
t 9210
 
8.0%
a 7675
 
6.7%
s 6140
 
5.3%
i 6140
 
5.3%
o 6140
 
5.3%
p 4605
 
4.0%
c 4605
 
4.0%
. 4605
 
4.0%
g 4605
 
4.0%
Other values (23) 50655
44.0%

_links_self
Text

UNIQUE 

Distinct3984
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:11.071307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters155376
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3984 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2450906
2nd rowhttps://api.tvmaze.com/episodes/2450907
3rd rowhttps://api.tvmaze.com/episodes/2438114
4th rowhttps://api.tvmaze.com/episodes/2438115
5th rowhttps://api.tvmaze.com/episodes/2413779
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2450906 1
 
< 0.1%
https://api.tvmaze.com/episodes/2424819 1
 
< 0.1%
https://api.tvmaze.com/episodes/2422014 1
 
< 0.1%
https://api.tvmaze.com/episodes/2438114 1
 
< 0.1%
https://api.tvmaze.com/episodes/2438115 1
 
< 0.1%
https://api.tvmaze.com/episodes/2413779 1
 
< 0.1%
https://api.tvmaze.com/episodes/2323161 1
 
< 0.1%
https://api.tvmaze.com/episodes/2433627 1
 
< 0.1%
https://api.tvmaze.com/episodes/2433628 1
 
< 0.1%
https://api.tvmaze.com/episodes/2433629 1
 
< 0.1%
Other values (3974) 3974
99.7%
2023-08-05T14:30:11.418067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 15936
 
10.3%
p 11952
 
7.7%
s 11952
 
7.7%
e 11952
 
7.7%
t 11952
 
7.7%
o 7968
 
5.1%
a 7968
 
5.1%
i 7968
 
5.1%
. 7968
 
5.1%
m 7968
 
5.1%
Other values (16) 51792
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 99600
64.1%
Other Punctuation 27888
 
17.9%
Decimal Number 27888
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 11952
12.0%
s 11952
12.0%
e 11952
12.0%
t 11952
12.0%
o 7968
8.0%
a 7968
8.0%
i 7968
8.0%
m 7968
8.0%
h 3984
 
4.0%
d 3984
 
4.0%
Other values (3) 11952
12.0%
Decimal Number
ValueCountFrequency (%)
4 5981
21.4%
2 5819
20.9%
5 2635
9.4%
3 2495
8.9%
1 1985
 
7.1%
6 1928
 
6.9%
7 1778
 
6.4%
8 1757
 
6.3%
0 1756
 
6.3%
9 1754
 
6.3%
Other Punctuation
ValueCountFrequency (%)
/ 15936
57.1%
. 7968
28.6%
: 3984
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 99600
64.1%
Common 55776
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 15936
28.6%
. 7968
14.3%
4 5981
 
10.7%
2 5819
 
10.4%
: 3984
 
7.1%
5 2635
 
4.7%
3 2495
 
4.5%
1 1985
 
3.6%
6 1928
 
3.5%
7 1778
 
3.2%
Other values (3) 5267
 
9.4%
Latin
ValueCountFrequency (%)
p 11952
12.0%
s 11952
12.0%
e 11952
12.0%
t 11952
12.0%
o 7968
8.0%
a 7968
8.0%
i 7968
8.0%
m 7968
8.0%
h 3984
 
4.0%
d 3984
 
4.0%
Other values (3) 11952
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 15936
 
10.3%
p 11952
 
7.7%
s 11952
 
7.7%
e 11952
 
7.7%
t 11952
 
7.7%
o 7968
 
5.1%
a 7968
 
5.1%
i 7968
 
5.1%
. 7968
 
5.1%
m 7968
 
5.1%
Other values (16) 51792
33.3%
Distinct747
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size191.3 KiB
2023-08-05T14:30:11.678975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.963855
Min length31

Characters and Unicode

Total characters135312
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)2.7%

Sample

1st rowhttps://api.tvmaze.com/shows/55724
2nd rowhttps://api.tvmaze.com/shows/55724
3rd rowhttps://api.tvmaze.com/shows/59201
4th rowhttps://api.tvmaze.com/shows/59201
5th rowhttps://api.tvmaze.com/shows/60687
ValueCountFrequency (%)
https://api.tvmaze.com/shows/65696 48
 
1.2%
https://api.tvmaze.com/shows/61565 34
 
0.9%
https://api.tvmaze.com/shows/66110 31
 
0.8%
https://api.tvmaze.com/shows/66153 30
 
0.8%
https://api.tvmaze.com/shows/66162 28
 
0.7%
https://api.tvmaze.com/shows/66103 26
 
0.7%
https://api.tvmaze.com/shows/65894 26
 
0.7%
https://api.tvmaze.com/shows/66179 25
 
0.6%
https://api.tvmaze.com/shows/70186 25
 
0.6%
https://api.tvmaze.com/shows/65716 24
 
0.6%
Other values (737) 3687
92.5%
2023-08-05T14:30:12.125270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 15936
 
11.8%
s 11952
 
8.8%
t 11952
 
8.8%
h 7968
 
5.9%
p 7968
 
5.9%
a 7968
 
5.9%
. 7968
 
5.9%
o 7968
 
5.9%
m 7968
 
5.9%
6 4724
 
3.5%
Other values (16) 42940
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 87648
64.8%
Other Punctuation 27888
 
20.6%
Decimal Number 19776
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 11952
13.6%
t 11952
13.6%
h 7968
9.1%
p 7968
9.1%
a 7968
9.1%
o 7968
9.1%
m 7968
9.1%
e 3984
 
4.5%
w 3984
 
4.5%
c 3984
 
4.5%
Other values (3) 11952
13.6%
Decimal Number
ValueCountFrequency (%)
6 4724
23.9%
5 2706
13.7%
4 2228
11.3%
1 1699
 
8.6%
2 1559
 
7.9%
3 1525
 
7.7%
9 1441
 
7.3%
0 1358
 
6.9%
8 1282
 
6.5%
7 1254
 
6.3%
Other Punctuation
ValueCountFrequency (%)
/ 15936
57.1%
. 7968
28.6%
: 3984
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 87648
64.8%
Common 47664
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 15936
33.4%
. 7968
16.7%
6 4724
 
9.9%
: 3984
 
8.4%
5 2706
 
5.7%
4 2228
 
4.7%
1 1699
 
3.6%
2 1559
 
3.3%
3 1525
 
3.2%
9 1441
 
3.0%
Other values (3) 3894
 
8.2%
Latin
ValueCountFrequency (%)
s 11952
13.6%
t 11952
13.6%
h 7968
9.1%
p 7968
9.1%
a 7968
9.1%
o 7968
9.1%
m 7968
9.1%
e 3984
 
4.5%
w 3984
 
4.5%
c 3984
 
4.5%
Other values (3) 11952
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 15936
 
11.8%
s 11952
 
8.8%
t 11952
 
8.8%
h 7968
 
5.9%
p 7968
 
5.9%
a 7968
 
5.9%
. 7968
 
5.9%
o 7968
 
5.9%
m 7968
 
5.9%
6 4724
 
3.5%
Other values (16) 42940
31.7%

summary
Text

MISSING 

Distinct1527
Distinct (%)100.0%
Missing2457
Missing (%)61.7%
Memory size191.3 KiB
2023-08-05T14:30:12.467883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1411
Median length475
Mean length197.50884
Min length27

Characters and Unicode

Total characters301596
Distinct characters167
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1527 ?
Unique (%)100.0%

Sample

1st row<p>Gordon's day goes from bad to worse when, distracted by the impulsive actions of an attractive stranger, Ashley, he accidentally hits a stray dog with his car.</p>
2nd row<p>When Ashley makes a mess in Gordon's sock drawer, she makes an impromptu trip to Costco with Colin, Megan and her mother, to buy Gordon some new furniture.</p>
3rd row<p>Gordon accidentally sends Ashley a dick pic and chases her from a garage sale to a death bed to try and delete it.</p>
4th row<p>Ash and Gordon's awkward sexual encounter causes them to drift apart.</p>
5th row<p>The Echo Park gang are impressed when Ashley takes charge during a power outage.</p>
ValueCountFrequency (%)
the 2630
 
5.3%
to 1797
 
3.6%
and 1676
 
3.4%
a 1591
 
3.2%
of 977
 
2.0%
in 783
 
1.6%
with 552
 
1.1%
is 501
 
1.0%
for 499
 
1.0%
her 475
 
1.0%
Other values (10889) 38457
77.0%
2023-08-05T14:30:12.990930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48293
16.0%
e 27843
 
9.2%
t 19644
 
6.5%
a 19470
 
6.5%
i 16564
 
5.5%
o 16451
 
5.5%
n 16393
 
5.4%
s 16106
 
5.3%
r 14203
 
4.7%
h 11815
 
3.9%
Other values (157) 94814
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 227354
75.4%
Space Separator 48423
 
16.1%
Uppercase Letter 9613
 
3.2%
Other Punctuation 8479
 
2.8%
Math Symbol 6367
 
2.1%
Dash Punctuation 684
 
0.2%
Decimal Number 562
 
0.2%
Open Punctuation 30
 
< 0.1%
Close Punctuation 30
 
< 0.1%
Currency Symbol 19
 
< 0.1%
Other values (4) 35
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 27843
12.2%
t 19644
 
8.6%
a 19470
 
8.6%
i 16564
 
7.3%
o 16451
 
7.2%
n 16393
 
7.2%
s 16106
 
7.1%
r 14203
 
6.2%
h 11815
 
5.2%
l 9057
 
4.0%
Other values (68) 59808
26.3%
Uppercase Letter
ValueCountFrequency (%)
A 874
 
9.1%
S 848
 
8.8%
T 829
 
8.6%
M 716
 
7.4%
C 666
 
6.9%
B 512
 
5.3%
D 461
 
4.8%
L 436
 
4.5%
J 428
 
4.5%
W 396
 
4.1%
Other values (35) 3447
35.9%
Other Punctuation
ValueCountFrequency (%)
. 2977
35.1%
, 2353
27.8%
/ 1618
19.1%
' 964
 
11.4%
" 137
 
1.6%
? 118
 
1.4%
! 118
 
1.4%
; 101
 
1.2%
: 62
 
0.7%
& 14
 
0.2%
Other values (3) 17
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 168
29.9%
2 103
18.3%
1 92
16.4%
9 44
 
7.8%
3 41
 
7.3%
5 33
 
5.9%
4 24
 
4.3%
8 23
 
4.1%
7 19
 
3.4%
6 15
 
2.7%
Space Separator
ValueCountFrequency (%)
48293
99.7%
  125
 
0.3%
5
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 3183
50.0%
> 3183
50.0%
+ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 585
85.5%
72
 
10.5%
27
 
3.9%
Currency Symbol
ValueCountFrequency (%)
$ 13
68.4%
4
 
21.1%
£ 2
 
10.5%
Open Punctuation
ValueCountFrequency (%)
( 29
96.7%
[ 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 29
96.7%
] 1
 
3.3%
Initial Punctuation
ValueCountFrequency (%)
10
76.9%
« 3
 
23.1%
Modifier Symbol
ValueCountFrequency (%)
` 18
100.0%
Final Punctuation
ValueCountFrequency (%)
» 3
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 235893
78.2%
Common 64629
 
21.4%
Cyrillic 1074
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 27843
11.8%
t 19644
 
8.3%
a 19470
 
8.3%
i 16564
 
7.0%
o 16451
 
7.0%
n 16393
 
6.9%
s 16106
 
6.8%
r 14203
 
6.0%
h 11815
 
5.0%
l 9057
 
3.8%
Other values (67) 68347
29.0%
Cyrillic
ValueCountFrequency (%)
а 109
 
10.1%
и 96
 
8.9%
е 83
 
7.7%
о 81
 
7.5%
т 76
 
7.1%
н 69
 
6.4%
с 64
 
6.0%
р 60
 
5.6%
в 37
 
3.4%
л 36
 
3.4%
Other values (36) 363
33.8%
Common
ValueCountFrequency (%)
48293
74.7%
< 3183
 
4.9%
> 3183
 
4.9%
. 2977
 
4.6%
, 2353
 
3.6%
/ 1618
 
2.5%
' 964
 
1.5%
- 585
 
0.9%
0 168
 
0.3%
" 137
 
0.2%
Other values (34) 1168
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300051
99.5%
Cyrillic 1074
 
0.4%
None 339
 
0.1%
Punctuation 128
 
< 0.1%
Currency Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48293
16.1%
e 27843
 
9.3%
t 19644
 
6.5%
a 19470
 
6.5%
i 16564
 
5.5%
o 16451
 
5.5%
n 16393
 
5.5%
s 16106
 
5.4%
r 14203
 
4.7%
h 11815
 
3.9%
Other values (75) 93269
31.1%
None
ValueCountFrequency (%)
  125
36.9%
é 49
 
14.5%
ç 17
 
5.0%
á 17
 
5.0%
è 15
 
4.4%
í 15
 
4.4%
É 13
 
3.8%
ñ 11
 
3.2%
ú 9
 
2.7%
Á 9
 
2.7%
Other values (20) 59
17.4%
Cyrillic
ValueCountFrequency (%)
а 109
 
10.1%
и 96
 
8.9%
е 83
 
7.7%
о 81
 
7.5%
т 76
 
7.1%
н 69
 
6.4%
с 64
 
6.0%
р 60
 
5.6%
в 37
 
3.4%
л 36
 
3.4%
Other values (36) 363
33.8%
Punctuation
ValueCountFrequency (%)
72
56.2%
27
 
21.1%
14
 
10.9%
10
 
7.8%
5
 
3.9%
Currency Symbols
ValueCountFrequency (%)
4
100.0%

Interactions

2023-08-05T14:30:04.133106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:01.938183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.470315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.031860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.593072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:04.231425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.034950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.577428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.141116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.696067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:04.340495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.145563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.689462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.255842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.805504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:04.449394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.264260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.808105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.377865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.923931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:04.553432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.369189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:02.924294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:03.489340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:30:04.027804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-08-05T14:30:04.710180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:30:04.960976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:30:05.128781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0245090655724https://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87Серия 87287.0regular2022-12-012022-12-01T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450906https://api.tvmaze.com/shows/55724None
1245090755724https://www.tvmaze.com/episodes/2450907/hocu-vse-znat-2x88-seria-88Серия 88288.0regular2022-12-012022-12-01T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450907https://api.tvmaze.com/shows/55724None
2243811459201https://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15Серия 1525.0regular2022-12-012022-12-01T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438114https://api.tvmaze.com/shows/59201None
3243811559201https://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16Серия 1626.0regular2022-12-012022-12-01T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438115https://api.tvmaze.com/shows/59201None
4241377960687https://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria8 серия18.0regular2022-12-0112:002022-12-01T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2413779https://api.tvmaze.com/shows/60687None
5232316161880https://www.tvmaze.com/episodes/2323161/zamerzsie-1x01-seria-1Серия 111.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2323161https://api.tvmaze.com/shows/61880None
6243362761880https://www.tvmaze.com/episodes/2433627/zamerzsie-1x02-seria-2Серия 212.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433627https://api.tvmaze.com/shows/61880None
7243362861880https://www.tvmaze.com/episodes/2433628/zamerzsie-1x03-seria-3Серия 313.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433628https://api.tvmaze.com/shows/61880None
8243362961880https://www.tvmaze.com/episodes/2433629/zamerzsie-1x04-seria-4Серия 414.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433629https://api.tvmaze.com/shows/61880None
9243363061880https://www.tvmaze.com/episodes/2433630/zamerzsie-1x05-seria-5Серия 515.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433630https://api.tvmaze.com/shows/61880None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
101248486966819https://www.tvmaze.com/episodes/2484869/kismetse-olur-askin-gucu-1x18-episode-18Episode 18118.0regular2022-12-312022-12-31T12:00:00+00:00165.0NoneNoneNonehttps://api.tvmaze.com/episodes/2484869https://api.tvmaze.com/shows/66819None
102256272869075https://www.tvmaze.com/episodes/2562728/the-flame-imperial-guards-1x01-episode-1Episode 111.0regular2022-12-312022-12-31T12:00:00+00:0020.0NoneNoneNonehttps://api.tvmaze.com/episodes/2562728https://api.tvmaze.com/shows/69075None
103256272969075https://www.tvmaze.com/episodes/2562729/the-flame-imperial-guards-1x02-episode-2Episode 212.0regular2022-12-312022-12-31T12:00:00+00:0020.0NoneNoneNonehttps://api.tvmaze.com/episodes/2562729https://api.tvmaze.com/shows/69075None
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